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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
v1v2 (latest)

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXiv (abs)PDFHTMLGithub (233★)

Papers citing "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"

50 / 751 papers shown
Title
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline
  Reinforcement Learning Settings
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings
Sudhir Pratap Yadav
R. Nagar
S. Shah
OffRL
59
3
0
31 Jan 2023
Continual Learning for Predictive Maintenance: Overview and Challenges
Continual Learning for Predictive Maintenance: Overview and Challenges
J. Hurtado
Dario Salvati
Rudy Semola
Mattia Bosio
Vincenzo Lomonaco
48
36
0
29 Jan 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
78
4
0
28 Jan 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay Kumar Verma
Vinay P. Namboodiri
CLL
58
3
0
27 Jan 2023
Effective Decision Boundary Learning for Class Incremental Learning
Effective Decision Boundary Learning for Class Incremental Learning
Chaoyue Ding
Kunchi Li
Jun Wan
Shan Yu
CLL
64
1
0
12 Jan 2023
Latent Spectral Regularization for Continual Learning
Latent Spectral Regularization for Continual Learning
Emanuele Frascaroli
Riccardo Benaglia
Matteo Boschini
Luca Moschella
Cosimo Fiorini
Emanuele Rodolà
Simone Calderara
BDLCLL
77
4
0
09 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey
Recent Advances on Federated Learning: A Systematic Survey
Bingyan Liu
Nuoyan Lv
Yuanchun Guo
Yawen Li
FedML
118
93
0
03 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELMCLL
86
5
0
31 Dec 2022
A Unified Object Counting Network with Object Occupation Prior
A Unified Object Counting Network with Object Occupation Prior
Shengqin Jiang
Qing Wang
Fengna Cheng
Yuankai Qi
Qingshan Liu
99
7
0
29 Dec 2022
Lifelong Reinforcement Learning with Modulating Masks
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu
Saptarshi Nath
Praveen K. Pilly
Soheil Kolouri
Andrea Soltoggio
CLLOffRL
89
23
0
21 Dec 2022
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance
  Fields
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
Jaeyoung Chung
Kang-Ho Lee
Sungyong Baik
Kyoung Mu Lee
CLL
65
10
0
16 Dec 2022
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
63
5
0
16 Dec 2022
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Ziyuan Zhao
Ming Xu
Peisheng Qian
R. Pahwa
Richard Chang
3DPCCLL
87
8
0
05 Dec 2022
AL-iGAN: An Active Learning Framework for Tunnel Geological
  Reconstruction Based on TBM Operational Data
AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data
Hao Wang
Lixue Liu
Xueguan Song
Chao Zhang
Dacheng Tao
GANAI4CE
58
0
0
02 Dec 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Gyojin Han
Jaehyun Choi
H. Hong
Junmo Kim
AAML
35
2
0
29 Nov 2022
Neural Architecture for Online Ensemble Continual Learning
Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik
Witold Ko'sciukiewicz
Tomasz Kajdanowicz
Adam Gonczarek
CLL
86
1
0
27 Nov 2022
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
75
14
0
27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
101
7
0
26 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang
Oya Celiktutan
CLL
67
8
0
24 Nov 2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
Integral Continual Learning Along the Tangent Vector Field of Tasks
Tianlin Liu
Aditya Golatkar
Stefano Soatto
Alessandro Achille
CLL
69
3
0
23 Nov 2022
Cooperative data-driven modeling
Cooperative data-driven modeling
Aleksandr Dekhovich
O. T. Turan
Jiaxiang Yi
Miguel A. Bessa
CLLKELMAI4CE
46
5
0
23 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELMCLLVLM
108
79
0
23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
93
0
0
22 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
121
31
0
18 Nov 2022
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge
  Distillation
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation
Mehrtash Mehrabi
Yingxue Zhang
52
0
0
17 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for
  Incremental Segmentation
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Zhiyuan Fang
Jianbo Jiao
Yunchao Wei
CLL
67
31
0
13 Nov 2022
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay
  and Domain-sensitive Feature Whitening
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening
Kang Li
Lequan Yu
Pheng-Ann Heng
CLL
66
23
0
09 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
55
2
0
09 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
86
78
0
04 Nov 2022
Learning Tool Morphology for Contact-Rich Manipulation Tasks with
  Differentiable Simulation
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
Mengxi Li
Rika Antonova
Dorsa Sadigh
Jeannette Bohg
50
6
0
04 Nov 2022
Is Multi-Task Learning an Upper Bound for Continual Learning?
Is Multi-Task Learning an Upper Bound for Continual Learning?
Zihao Wu
Huy Tran
Hamed Pirsiavash
Soheil Kolouri
SSLCLL
57
5
0
26 Oct 2022
Exclusive Supermask Subnetwork Training for Continual Learning
Exclusive Supermask Subnetwork Training for Continual Learning
Prateek Yadav
Joey Tianyi Zhou
CLL
91
6
0
18 Oct 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for
  Continual Learning
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu
Wang Zhu
Shaolei Ren
CLL
67
3
0
16 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
72
48
0
12 Oct 2022
Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Peiyi Wang
Yifan Song
Tianyu Liu
Binghuai Lin
Yunbo Cao
Sujian Li
Zhifang Sui
CLLSLR
96
28
0
10 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
78
31
0
09 Oct 2022
TAME: Task Agnostic Continual Learning using Multiple Experts
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu
Maryam Majzoubi
Arihant Jain
A. Choromańska
OOD
54
3
0
08 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDLVLMCLL
173
51
0
06 Oct 2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of
  Deep Neural Networks
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
B. Zhang
linda Qiao
71
10
0
06 Oct 2022
ImpressLearn: Continual Learning via Combined Task Impressions
ImpressLearn: Continual Learning via Combined Task Impressions
Dhrupad Bhardwaj
Julia Kempe
Artem Vysogorets
Angel Teng
Evaristus C. Ezekwem
VLMCLL
33
0
0
05 Oct 2022
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental Learning
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
151
37
0
01 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental
  Learning
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Bin Liu
Boyu Yang
Lingxi Xie
Ren Wang
Qi Tian
QiXiang Ye
CLL
78
19
0
01 Oct 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLLMoMe
109
2
0
29 Sep 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
127
28
0
28 Sep 2022
Exploring Example Influence in Continual Learning
Exploring Example Influence in Continual Learning
Q. Sun
Fan Lyu
Fanhua Shang
Wei Feng
Liang Wan
CLL
126
49
0
25 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
124
64
0
20 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
88
9
0
18 Sep 2022
Forgetting to Remember: A Scalable Incremental Learning Framework for
  Cross-Task Blind Image Quality Assessment
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
Rui Ma
Qingbo Wu
K. Ngan
Hongliang Li
Fanman Meng
Linfeng Xu
CLL
92
15
0
15 Sep 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
114
44
0
15 Sep 2022
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Eden Belouadah
David Picard
Bertrand Delezoide
CLL
79
1
0
14 Sep 2022
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